With the emergence of "smart cities," "smart parking," and "smart communities," there has been a continuous wave of equipment upgrades. In industries such as security and transportation, license plate recognition technology is increasingly adopted for vehicle management, enabling artificial intelligence applications. License plate recognition—worth it because of you. By integrating a DSP platform with an embedded license plate recognition SDK, you can develop products under your own brand.

License Plate Recognition Workflow Diagram

Five Key Features of License Plate Recognition:

High overall recognition rate, especially with Chinese characters significantly outperforming similar products;
Fast recognition speed, powered by highly optimized license plate localization and recognition algorithms;
Supports various license plate types including blue, yellow, new military, new CAPF (Chinese People's Armed Police), police, agricultural vehicle, coach, and embassy plates;
Low requirement for plate width—recognition remains effective even when plate width is ≥60 pixels;
Written entirely in C, enabling cross-platform deployment.

PC-based License Plate Recognition Demo

Specifications of DSP Platform License Plate Recognition and Embedded SDK:

Supported Recognition Types: HD image recognition, checkpoint video detection and recognition;
Product Form: Provided as a static library (lib), to be embedded into user applications;
Licensing Methods: Encryption chip, license file, chip serial number;
Supported Chips: DM8127, DM8148, DM8168, DM6437, DM648, DM6446, DM6467, DM3730, HiSilicon platforms, etc.;
Recognition Speed:
- 1MP: ~50ms
- 2MP: ~80ms
- 5MP: ~320ms
Recognition Rate: Overall recognition rate >99%;
License Plate Pixel Width: 60–400 pixels;
Recognizable Plate Types: Standard blue plates, double-row yellow plates, double-row new military plates, double-row new CAPF plates, police plates, agricultural vehicle plates, coach plates, embassy plates, consulate plates, new energy plates, and other vehicle license types;
Operating Environment: DSP core, ARM core (A8 or above), DSP+ARM dual-core;
Application Scenarios: Intelligent cameras, video servers;

License Activation Process for DSP Platform License Plate Recognition SDK:

Confirm the hardware platform, including chip model and external RAM size;
Check whether an encryption chip has been soldered;
Identify the application scenario—intelligent camera or video analytics server;
Understand other key functions of the intelligent camera and assess CPU and memory resource usage;
We provide an evaluation version of the recognition core for user testing and assessment;
Prepare the encryption chip driver—usually provided by the customer;
Customer provides 1–2 encryption chip IDs; we then provide the official version of the recognition library and encrypted license files;
Customer writes the encrypted file and tests the official recognition library;
Design batch encryption method.

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Original Link: https://blog.csdn.net/GK_yin670623743/article/details/71512770